Name: 2nd AI-INFN Advanced Hackathon
Start: 2025-11-24T00:00:00+01:00
End: 2025-11-27T16:00:00+01:00
Location: Collegio Borromeo, Pavia

2nd AI-INFN Advanced Hackathon

from Monday, 24 November 2025 (00:00) to Thursday, 27 November 2025 (16:00)

Monday, 24 November 2025

10:00 Registration
Registration
10:00 - 11:00

11:00 Welcome

11:00 - 11:05
11:05 AI and Computing @ INFN Pavia
11:05 - 12:00
Contributions

11:05 From medical radioisotopes and BNCT neutron sources to tadpole tracking: computing activities in applied physics. - Alessandro Colombi (Istituto Nazionale di Fisica Nucleare)

11:15 AI and Computing in high energy physics - Andrea Pareti (Istituto Nazionale di Fisica Nucleare)

11:25 Biophysical modelling for space radiation risk assessment. - Ricardo Luis Ramos (Istituto Nazionale di Fisica Nucleare)

11:35 AI and Computing in Boron Neutron Capture Therapy - Silva Bortolussi (Istituto Nazionale di Fisica Nucleare)

11:45 Quantum Machine Learning - LORENZO MACCONE (Istituto Nazionale di Fisica Nucleare)
12:00 AI INFN introduction: AI INFN: overview and resources access
AI INFN: overview and resources access
12:00 - 13:00
Contributions

12:00 AI_INFN in the Italian landscape

12:30 Access the resources
13:00 Lunch Break
Lunch Break
13:00 - 14:30
14:30 Flash seminars: Innovative applications of Deep Learning
Innovative applications of Deep Learning
14:30 - 16:00
Contributions

14:30 Developing Artificial Intelligence in the Cloud: the AI_INFN platform & InterLink - Rosa Petrini (Istituto Nazionale di Fisica Nucleare)

14:50 ARDE: Neural network-based algorithms for discrimination between electrons and γ-rays - Naomi Marchini (Istituto Nazionale di Fisica Nucleare)

15:10 Neural Network for Classification and Assembly of Nuragic Amphorae - Marta Magalini (Istituto Nazionale di Fisica Nucleare)

15:30 Crop Classification using High-Performance Deep Learning Predictive Models for Agricultural Yields Analysis - Andrea Miola (Istituto Nazionale di Fisica Nucleare, University of Ferrara)
16:00 Tea Break
Tea Break
16:00 - 16:30
16:30 Flash seminars: Medical Physics 1
Medical Physics 1
16:30 - 18:30
Contributions

16:30 Methodology insights of computing resource intensive analysis: the case of MGMT prediction on multiparametric MRI of patients with glioblastoma - Francesca Lizzi (Istituto Nazionale di Fisica Nucleare)

16:45 AI-Driven Quantitative Imaging in Medical Physics: From Clinical Nuclear Medicine in Prostate Cancer to Preclinical Radiobiology Models - Giovanni Pasini (Istituto Nazionale di Fisica Nucleare)

17:00 CycleGAN for Kernel-to-Kernel CT Harmonization and Low-Dose CT Denoising via Transfer Learning - Francesca Camagni (Istituto Nazionale di Fisica Nucleare)

17:15 Development and Integration of an Automatic Patient Positioning Algorithm for BNCT within the IT_STARTS Treatment Planning System - Cristina Pezzi (Istituto Nazionale di Fisica Nucleare)

17:30 AI-assisted Thrombus Segmentation in Acute Ischemic Stroke Patients: a Multi-Disciplinary Approach - Giada Minghini Giada Minghini (Istituto Nazionale di Fisica Nucleare)
Tuesday, 25 November 2025
08:30 Seminars for exercises: Seminars for exercises
Seminars for exercises
08:30 - 09:55
Contributions

08:30 Physics Informed Neural Networks - An introduction - Alessandro Bombini (FI) Alessandro Bombini (Istituto Nazionale di Fisica Nucleare)

09:20 PINN for dosimetry in Medical Physics - Mattia Romeo (Istituto Nazionale di Fisica Nucleare)
09:55 Flash seminars: Medical Physics 2
Medical Physics 2
09:55 - 10:30
Contributions

09:55 Flow-Based Synthetic Data Generation for Fluorescence Spheroid Images - mariachiara stellato (University of Bologna)

10:15 Novel Artificial Intelligence approaches for Redness Hyperemia Analysis - Tommaso Giacometti (Istituto Nazionale di Fisica Nucleare)
10:30 Coffee Break
Coffee Break
10:30 - 11:00
11:00 Seminars for exercises
11:00 - 12:25
Contributions

11:00 Introduction to Quantum Computing and Machine Learning - Lorenzo Sestini (Istituto Nazionale di Fisica Nucleare)

11:50 Introduction to QUBO - Laura Cappelli (Istituto Nazionale di Fisica Nucleare)
12:25 Flash seminars: Quantum Machine Learning
Quantum Machine Learning
12:25 - 13:00
Contributions

12:25 Learning time-varying Gaussian quantum lossy channels - Angela Rosy Morgillo (Istituto Nazionale di Fisica Nucleare)

12:45 Quantum Machine Learning for High-Energy Physics: A Quantum Neural Network Approach - Eric Ballabene (Istituto Nazionale di Fisica Nucleare)
13:00 Lunch Break
Lunch Break
13:00 - 14:30
14:30 Physics Informed Neural Networks applied to dosimetry in Medical Physics - Francesco Vaselli (Istituto Nazionale di Fisica Nucleare) Mattia Romeo (Istituto Nazionale di Fisica Nucleare)
Physics Informed Neural Networks applied to dosimetry in Medical Physics
- Francesco Vaselli (Istituto Nazionale di Fisica Nucleare)
- Mattia Romeo (Istituto Nazionale di Fisica Nucleare)
14:30 - 16:00
Quantum Machine Learning with QUBO - Laura Cappelli (Istituto Nazionale di Fisica Nucleare)
Quantum Machine Learning with QUBO
- Laura Cappelli (Istituto Nazionale di Fisica Nucleare)
14:30 - 16:00
16:00 Coffee Break
Coffee Break
16:00 - 16:30
16:30 Physics Informed Neural Networks applied to dosimetry in Medical Physics - Francesco Vaselli (Istituto Nazionale di Fisica Nucleare) Mattia Romeo (Istituto Nazionale di Fisica Nucleare)
Physics Informed Neural Networks applied to dosimetry in Medical Physics
- Francesco Vaselli (Istituto Nazionale di Fisica Nucleare)
- Mattia Romeo (Istituto Nazionale di Fisica Nucleare)
16:30 - 18:30
Quantum Machine Learning with QUBO - Laura Cappelli (Istituto Nazionale di Fisica Nucleare)
Quantum Machine Learning with QUBO
- Laura Cappelli (Istituto Nazionale di Fisica Nucleare)
16:30 - 18:30
Wednesday, 26 November 2025
08:30 Seminars for exercises: Seminars for exercises
Seminars for exercises
08:30 - 09:35
Contributions

08:30 Introduction to Graph Neural Networks - Lorenzo Arsini

09:00 GNN with Attention for Jet Reconstruction in High Energy Physics - Stefano Giagu (Sapienza Università di Roma and Istituto Nazionale di Fisica Nucleare)
09:35 Flash seminars: High Energy Physics
High Energy Physics
09:35 - 10:30
Contributions

09:35 Machine Learning for K0 Event Reconstruction in the LHCf Experiment - Andrea Paccagnella (Istituto Nazionale di Fisica Nucleare)

09:55 GN3: The Latest Transformer-Based Flavour Tagging Algorithm in ATLAS - Michele D'Andrea (Istituto Nazionale di Fisica Nucleare)

10:15 Deep Learning-Based identification of soft taus in the L1 Scouting stream for Phase-2 - Valentina Camagni (Universita & INFN, Milano-Bicocca (IT))
10:30 Coffee Break
Coffee Break
10:30 - 11:00
11:00 Seminars for exercises: Seminars for exercises
Seminars for exercises
11:00 - 12:40
Contributions

11:00 FPGA and Machine Learning: an introduction - Giulio Bianchini (Istituto Nazionale di Fisica Nucleare)

11:50 Introduction to data compression for Gravitational Waves - Luca Rei (Istituto Nazionale di Fisica Nucleare) Mirko Corosu (Istituto Nazionale di Fisica Nucleare)

12:20 The FPGA cluster in Milano Bicocca - Francesco Brivio (Istituto Nazionale di Fisica Nucleare) Simone Gennai (MIB) Simone Gennai (Istituto Nazionale di Fisica Nucleare)
12:45 Flash seminars
12:45 - 13:00
Contributions

12:45 FPGA-based Deep Processing Units for Biomedical Segmentation: A U-Net Benchmarking Study - Valentina Sisini (Istituto Nazionale di Fisica Nucleare)
13:00 Lunch Break
Lunch Break
13:00 - 14:30
14:30 Compression pipelines for Gravitational Waves deployed in hardware with FPGAs - Mirko Corosu (Istituto Nazionale di Fisica Nucleare) Giulio Bianchini (Istituto Nazionale di Fisica Nucleare) Francesco Brivio (Istituto Nazionale di Fisica Nucleare)
Compression pipelines for Gravitational Waves deployed in hardware with FPGAs
- Mirko Corosu (Istituto Nazionale di Fisica Nucleare)
- Giulio Bianchini (Istituto Nazionale di Fisica Nucleare)
- Francesco Brivio (Istituto Nazionale di Fisica Nucleare)
14:30 - 16:00
Explainable GNN architecture with a mixture-of-experts orchestrator with ATLAS Open Data - Stefano Giagu (Sapienza Università di Roma and Istituto Nazionale di Fisica Nucleare)
Explainable GNN architecture with a mixture-of-experts orchestrator with ATLAS Open Data
- Stefano Giagu (Sapienza Università di Roma and Istituto Nazionale di Fisica Nucleare)
14:30 - 16:00
16:00 Tea Break
Tea Break
16:00 - 16:30

16:30 Compression pipelines for Gravitational Waves deployed in hardware with FPGAs
Compression pipelines for Gravitational Waves deployed in hardware with FPGAs
16:30 - 18:30
Explainable GNN architecture with a mixture-of-experts orchestrator with ATLAS Open Data - Stefano Giagu (Sapienza Università di Roma and Istituto Nazionale di Fisica Nucleare)
Explainable GNN architecture with a mixture-of-experts orchestrator with ATLAS Open Data
- Stefano Giagu (Sapienza Università di Roma and Istituto Nazionale di Fisica Nucleare)
16:30 - 18:30
20:30 Social Dinner
Social Dinner
20:30 - 22:30
Thursday, 27 November 2025
09:00 Hands on
09:00 - 10:05
Contributions

09:00 Virgo Digital Twin: live demo - Francesco Sarandrea (INFN Torino) Lorenzo Asprea (Istituto Nazionale di Fisica Nucleare)
10:05 Flash seminars: Astroparticles
Astroparticles
10:05 - 10:30
Contributions

10:05 Application of Artificial Intelligence Techniques to Tracking Systems in Space Experiments - Federica Cuna (Istituto Nazionale di Fisica Nucleare- Sezione di Bari)
10:30 Coffee Break
Coffee Break
10:30 - 11:00
11:00 Flash seminars: Astroparticles 2
Astroparticles 2
11:00 - 11:20
Contributions

11:00 Hybrid Theory-Simulation Machine Learning Approach to Backtracing - Luca Tabarroni (Istituto Nazionale di Fisica Nucleare)
11:20 Hands on
11:20 - 13:00
Contributions

11:20 Flow Matching Deconstructed: generative dynamics, from first principles to practical applications - Francesco Vaselli (Istituto Nazionale di Fisica Nucleare)
13:00 Closing

13:00 - 13:30

Choose timezone